In this paper, we introduce a device bin-packing-and-location-based model, Training Device Estimation (TraDE), to study the computation of heterogeneous device ...
Abstract— Training planning is a recurring military problem. Since training programs can utilize multiple training devices with varying costs and training ...
In this paper, we introduce a device bin-packing-and-location-based model, Training Device Estimation (TraDE), to study the computation of heterogeneous device ...
In this paper, we introduce a device bin-packing-and-location-based model, Training Device Estimation (TraDE), to study the computation of heterogeneous device ...
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What is a multi-objective optimization?
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A Multiple Objective Optimization (MOO) problem is when there is more than one desired function that needs to be minimized concurrently.
Jun 30, 2024 · In this paper, we introduce a novel approach for large language model merging via black-box multi-objective optimization algorithms.
This approach provides those acquiring and operating training devices with an analytic basis for selecting parsimonious sets of training devices while ...
In this article, we propose a joint multiobjective optimization method for both feature selection and classifier design, called JMO-FSCD.
In multi-task learning, multiple tasks are solved jointly, sharing inductive bias between them. Multi-task learning is inherently a multi-objective problem ...
Jan 25, 2024 · Multi-objective optimization is a technique for optimizing several conflicting objectives simultaneously. A Multi-Objective Optimization Problem ...